CV

Yingbo Fan
Postdoctoral Researcher, School of Earth and Space Sciences, Peking University
Email: ybfan@pku.edu.cn

Research Areas
Geospatial intelligence, Computer vision, Digital twins, Smart mining, Multimodal scene reconstruction, Vector-space video stream fusion

Education

  • Ph.D., Cartography & GIS, Peking University, 2021.09–2025.06
    Dissertation: Key Technologies for the Fusion Construction of Vector Space and Video Streams in Fully Mechanized Coal Mining Faces
    Advisor: Shanjun Mao
  • M.S., Computer Science and Technology, Southeast University, 2018.09–2021.06
  • B.Eng., Electrical Engineering and Automation, University of Electronic Science and Technology of China, 2014.09–2018.06

Research Experience

  • Postdoctoral Researcher, Peking University, 2026.01–Present
    Topic: Multimodal intelligent scene construction based on bio-inspired vision models
  • Visiting Scholar, Hong Kong Polytechnic University, 2016.10–2016.12

Selected Publications

  1. Fan, Y., Mao, S., Li, M., Boxiang Yang, Yinglu Yang. Adaptive Multi-Channel Dehazing for Enhanced Visibility in Underground Coal Mine Images. PLOS ONE, 2025.
  2. Fan, Y., Mao, S., Li, M., Wu, Z., Kang, J. LMFD: Lightweight Multi-Feature Descriptors for Image Stitching. Scientific Reports, 2023.
  3. Fan, Y., Pang, W., Lu, S. HFPQ: Deep Neural Network Compression by Hardware-Friendly Pruning-Quantization. Applied Intelligence, 2021.

Major Research Projects

  • Digital Twin Mining System for Deep-Sea Polymetallic Nodules, Ministry of Science and Technology, China, 2023–Present
  • Coal Mine Disaster Fusion Monitoring and Decision-Making System, Ministry of Science and Technology, China, 2022–Present
  • Advanced Intelligent Mine Construction Key Technologies, Inner Mongolia Autonomous Region, 2024–Present

Granted Patents

  • QR Code-based Multidimensional Visual Data Processing System, China, 2025
  • METHOD AND APPARATUS FOR CONSTRUCTING REAL GEOGRAPHIC SPACE SCENE IN REAL TIME, US, 2023
  • 10+ other patents in vector-space modeling, video stream fusion, and intelligent mining systems